Triple

T6782693
Position Surface form Disambiguated ID Type / Status
Subject Denton and Reddish (UK Parliament constituency) E155721 entity
Predicate mainSettlement P13187 FINISHED
Object Reddish E66664 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Reddish | Statement: [Denton and Reddish (UK Parliament constituency), mainSettlement, Reddish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reddish
Context triple: [Denton and Reddish (UK Parliament constituency), mainSettlement, Reddish]
  • A. Reddish chosen
    Reddish is a suburban area and former industrial village in the Metropolitan Borough of Stockport, Greater Manchester, England.
  • B. Crimson
    Crimson is the collective name for Harvard University's varsity athletic teams competing in collegiate sports.
  • C. Red
    Red is the nickname of Red Rolfe, an American Major League Baseball third baseman best known for his years with the New York Yankees in the 1930s and 1940s.
  • D. Red
    Red is Taylor Swift’s critically acclaimed 2012 studio album that marked her transition from country to mainstream pop with emotionally charged, genre-blending songs.
  • E. Red
    Red is the nickname of Red Cashion, a well-known former American football official in the National Football League.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d289958481908ad4f9467a107083 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8263508190ad5cace74d7d7ac2 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:14 p.m.